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Copper hits one-month peak on strong China factory data, weak dollar
New York Post· 2025-09-01 18:23
Copper prices crept to their highest in more than a month on Monday, supported by upbeat manufacturing data from top metals consumer, China, and a weaker dollar.Three-month copper on the London Metal Exchange was down 0.2% at $9,886 a metric ton after touching its highest since July 24 at $9,947.LME copper has gained 12% this year, having rebounded from $8,105 in early April, the weakest in more than 16 months.Copper traded on the London Metal Exchange has gained 12% this year. AndreiNN – stock.adobe.comInv ...
南华期货铜风险管理日报-20250812
Nan Hua Qi Huo· 2025-08-12 02:49
南华期货铜风险管理日报 2025年8月12日 南华有色金属研究团队 肖宇非 投资咨询证号:Z0018441 投资咨询业务资格:证监许可【2011】1290号 铜价格波动率(日度) | 最新价格 | 价格区间预测(月度) | 当前波动率 | 当前波动率历史百分位 | | --- | --- | --- | --- | | 79020 | 73000-80000 | 11.64% | 22.6% | source: 南华研究,同花顺 铜风险管理建议(日度) | 行为导向 | 情景分析 | 现货敞口 | 策略推荐 | 套保工具 | 买卖方向 | 套保比例 | 建议入场区间 | | --- | --- | --- | --- | --- | --- | --- | --- | | 库存管理 | 产成品库存偏高,担心价格下跌 | 多 | 做空沪铜主力期货合约 | 沪铜主力期货合约 | 卖出 | 75% | 82000附近 | | | | | 卖出看涨期权 | CU2510C82000 | 卖出 | 25% | 波动率相对稳定时 | | 原料管理 | 原料库存较低,担心价格上涨 | 空 | 做多沪铜主力期货合约 | 沪铜 ...
Short-end bond yields move higher after weak 30-year bond auction
CNBC Television· 2025-08-07 19:08
Well, let's go from chips to the credit markets. Wall Street's watching closely as the Treasury hits the market with its latest 30-year bond auction. Investors are parsing demand for long-term debt amid rising deficits, shifting rate expectations, and of course, the economic outlook is uncertain.Rick Santelli joins us now from Chicago. Rick, what do you have. >> Yeah, you know, there is a lot to unpack there.Let's start at the beginning and let the charts do some talking. If you look at twos and tens since ...
Bond yields move higher as market begins to 'look for less'
CNBC Television· 2025-07-17 18:59
Bond Market & Yields - The 10-year yield remains stagnant at 446%, mirroring levels from November, indicating a lack of movement in borrowing costs [1] - Despite positive economic data, bond yields experienced an initial rise followed by a slight decrease, influenced by technical factors [4] - Key psychological levels for yields are identified: just under 2% for 2-year, 450% for 10-year, and 500% for 30-year maturities [5] Economic Data & Fed Policy - Retail sales show a healthy rebound, and initial jobless claims hit a three-month low at 221000 [2][3] - Market expectations for Fed funds imply less easing, shifting from over two quarter-point cuts to 170% [3] - Strong economic data initially pushed yields higher, aligning with typical market behavior [4] Dollar Index - The dollar index is nearing a one-month high, approaching the significant psychological level of 100 [7] - Increased interest rates and a decent labor market contribute to the strengthening of the dollar index [6]
X @The Wall Street Journal
Market Trends - The WSJ Dollar Index increased by 0.82% to reach 94.98 this week [1]
【UNFX课堂】外汇关注货币对的长期趋势和周期性
Sou Hu Cai Jing· 2025-05-05 10:14
Long-term Trend Analysis Framework - Structural driving factors include interest rate differentials, economic growth differences, and purchasing power parity (PPP) [1] - The Australian dollar to US dollar (AUD/USD) fell by 40% from 2011 to 2015 due to the Reserve Bank of Australia's continuous interest rate cuts [1] - OECD leading indicators show that when the US PMI exceeds the Eurozone by 3 percentage points, EUR/USD depreciates by an average of 5% annually [1] - The Taylor rule model can predict policy interest rate paths [1] - The US dollar has long-term deviations from PPP of about 15%, but it tends to revert to the mean over a 10-year cycle [1] Cyclical Analysis Models - The Kitchin cycle (3-4 years) reflects inventory adjustments affecting short-term fluctuations in commodity currencies [2] - The Juglar cycle (8-10 years) is driven by capital expenditure cycles impacting currency pairs like AUD/JPY [2] - The Kuznets cycle (15-25 years) shows a linkage between real estate cycles and currencies like CAD/CHF [2] - During the Federal Reserve's tightening cycle, the US dollar appreciated by an average of 12% from 1994 to 2000 [2] Quantitative Analysis Tools - Trend identification can be achieved through the crossover of 150-day and 300-day EMAs [3] - The ADX indicator confirms trend strength, with values above 25 indicating strong trends [3] - The Hurst exponent is used to assess trend persistence, with values greater than 0.5 indicating trend continuation [3] Practical Strategy Development - In an expansion phase, strategies include going long on commodity currencies and managing positions using the Kelly formula [5] - In a recession phase, strategies involve going long on USD/JPY and employing volatility strategies [5] Cutting-edge Research Areas - The impact of carbon border taxes on euro pricing and the correlation between the El Niño index and AUD/BRL are being studied [6] - The interaction between stablecoin liquidity and the offshore dollar market is a focus area [6] - Development of a Geopolitical Risk Index (GPR) to analyze dynamic relationships with Middle Eastern currencies [6] Classic Case Reviews - The 1992 British pound crisis was influenced by rising German interest rates while the UK maintained its exchange rate mechanism [7] - The 2015 Swiss franc decoupling was a result of contradictions between the Swiss National Bank's balance sheet expansion and its exchange rate policy [7] - The 2020 pandemic caused a liquidity crisis in the dollar market, leading to a sudden collapse of carry trades [7] Summary - Effective long-term cycle analysis requires a multi-layered framework that includes macro factors, market structure, and behavioral finance [8] - A mixed strategy of 70% trend following and 30% cycle adjustment is recommended, with a focus on monitoring the US 10-year Treasury volatility index (MOVE) and global forex liquidity indicators (FXLI) as leading indicators [8] - Attention should be given to the global debt cycle, which has reached a historical peak of 327% of global GDP, impacting currency valuation systems [8]